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šŸ’„VeChain Seeds Sustainability Initiatives in Europe with Multi-Year ATP PartnershipšŸ’„
December 04, 2022
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November 2022, Turin/Italy - VeChain Foundation San Marino (ā€œVeChainā€) was proud to debut as a silver partner of the Nitto ATP Finals, the grand finale of the ATP Tour, where the eight best tennis players in the world competed for the final singles and double titles of the year, taking place between the 13th to 20th of November.

All participants in the singles category were previous champions, with a combined 26 titles between them in 2022 alone. After an exhilarating week, Novak Djokovic emerged the ultimate singles champion from Pala Alpitour’s centre court, defeating Casper Rudd in a 93 minute straight set.

Echoing that same spirit of excellence, respect for fairness and sportsmanship displayed by the players of the ATP, the VeChain Foundation is building blockchain technologies with the aim of unlocking the digital-sustainable revolution for the global economy. It aims to become the foundational layer that helps enterprises and society make insightful decisions and solve various sustainability challenges and track environmental impact.

Seeding our expansion in Europe and the wider world by leveraging ATP’s annual global viewership of 1 Billion, VeChain will support the prestigious ATP season, to be hosted in the city of Turin, until 2025.

The Gattinoni Hub in the center of Turin was instrumental for the many bilateral meetings that took place, focusing on sustainability and technology. We attracted many professionals and co-sponsors of the ATP alongside invited guests, totaling over 200 individuals in total, communicating updates and progress of the VeChainThor ecosystem and blockchain.

In the weeks leading up to the Nitto ATP finals in Turin, VeChain launched its first official digital collectibles collection - ā€œVeBounceā€, a green Digital Collectibles lottery in collaboration with Explus and WorldofV (www.worldofv.art), which oversaw the minting of dozens of additional Digital Collectible prizes, revealed in a sweepstake style mechanic after all 5,000 VeBounce collectibles were claimed.

Among them were 20 ā€˜phygital’ (physical-digital) prizes, which saw CEO Sunny Lu and ex-professional Tennis star, Flavia Pennetta, sign physical Tennis balls with QR codes linking to an blockchain-based NFT – essentially a unique digital identifier – a concept known as a ā€˜digital twin’. In this way, VeChain uses blockchain technology to demonstrate the provenance, authenticity, ownership and other relevant information of a given item – a concept that can be applied to many different use cases, whether a land deed, luxury item, or a fine food item.

Upon arrival in Turin Porta Nuova station, ATP guests caught a glimpse of VeChain branded advertising boards displaying video content, produced by GS Retail, Ā reinforcing our commitment to contributing to, and supporting, the Italian community.

During the week of the Nitto ATP Finals, VeChainThor also oversaw a significant Mainnet upgrade with the implementation of Proof of Authority 2.0 (PoA2.0) and the inclusion of the ā€˜Finality with One Bit’ (FOB) gadget. The seamless upgrade introduced a critical mechanic for the future of VeChain and its sustainability directives by enabling absolute finality and data quality assurance.

The seamless upgrade introduced a critical mechanic for the future of VeChain and its sustainability objectives by ensuring absolute finality and thus, data quality assurance.

The upgrade solves a classic trade-off in the 2 most common types of blockchain architecture, combining their strengths and eliminating the weaknesses of each. This ensures theĀ #VeChainThorĀ blockchain is both scalable with robust security while being able to offer guaranteed data quality, meeting strict data-related regulatory standards. For the kinds of global scale sustainability ecosystems VeChain is building, data security is paramount, with every data point vital to delivering its objectives.

VeChain recognises this sponsorship as a global platform to share evolving and fresh ideas of developments within the blockchain realm alongside pioneers, business leaders and universities in Italy and beyond. TheĀ #VeFamĀ community can expect plenty more interesting events and initiatives in the next four years as we continue our journey alongside our existing and yet-to-be-announced partners.Ā 

Renato Grottola, member of the board of VeChain: ā€œWe want to help companies, organizations, public administrations and people to contribute to common goals regarding sustainability. This is why VeChain wants to be the reference platform for all those who want to implement sustainability-oriented digital solutions based on blockchain. In this context, partnerships with important sports realities allow us to speak to a different target, and thus bring the issue of sustainability connected to the blockchain to the attention of ordinary people as well".

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šŸŒŽ Schumann Resonance Today 9/27 šŸŒŽ

Right now the Schumann resonance fundamental sits at 7.83 Hz, with geomagnetic activity active (Kp 4.0).

Mild Solar Pressure, Earth Holds Its Rhythm
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https://x.com/crypto_banter/status/2093278045217984661

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September 13, 2026
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Revolut Leak Shows the Cost of Constant ID Collection
Revolut’s mistake is the news, but the bigger problem is the growing number of companies being encouraged or required to keep copies of our most sensitive identity documents.

Online bank Revolut has revealed that it gave out sensitive personal and financial information of an undisclosed number of its customers in response to a fake government request.

The information that was handed over to an ā€œunauthorized third partyā€ reportedly includes names, dates of birth, occupations, addresses, phone numbers, account numbers, transaction histories (including Bitcoin), and even copies of government-issued IDs and onboarding verification selfies.

Revolut claims that derived biometric face data was not.

The company said that the data was handed over in response to an email that came from a real government agency’s domain, but was not actually sent or authorized by that agency.

The email passed several authentication checks (SPF, DKIM, and DMARC) that are designed to establish the authenticity of a message’s origin and integrity, but do not verify the legitimacy of the legal request itself.

Revolut said that it complied with the request ā€œunder the reasonable belief that it was an authentic government agency requestā€ – and only later found out that it was not.

Revolut said it later realized its mistake, blocked the email address, and reported the incident to the relevant authorities.

Revolut said that only a ā€œlimitedā€ number of its customers were affected by the data leak, and that the company’s systems were not hacked, nor was any money stolen.

The story broke on September 11 when Revolut customers started receiving an email notice about a data leak, and the news was picked up by media outlets the following day.

Revolut notice explaining customer identity and financial data was shared after an unauthorized government email request.

The reason this is a recurring problem is that companies are keeping highly sensitive information about their customers’ identities, and sometimes even financial transactions, for a long time, and this data is then available to be disclosed to third parties – either in response to valid legal requests, or, as in the case of Revolut, fake ones.

One reason for this is know your customer (KYC) and anti-money laundering (AML) rules. Revolut’s current UK customer privacy notice spells it out: the company generally keeps personal data of UK customers for no more than seven years after the relationship ends, and sometimes longer – for legal reasons.

This means that even if you close your account, your identity documents don’t disappear.

And while the incident with Revolut happened in the financial sector, it’s by no means the only one that requires customers to hand over sensitive identity information. Discord, a popular chat service, said in an October 9, 2025 security update that government ID photos of approximately 70,000 users may have been exposed after a third-party customer service provider got hacked.

This was not a financial service, nor the same type of attack. But the result was similar – because the underlying business process was the same: requiring and storing sensitive identity documents. In the case of Discord, these were used to review age-related appeals.

It’s hard to do anything about a copy of your old passport, or a photo of your face, or a record of your past transactions. These can be used to identify and profile you, and can be used to carry out targeted fraud. And this can happen even if the initial disclosure didn’t result in financial loss.

The more companies are forced to collect and store such information, and the more of it they have, the more opportunities there are for this data to be leaked, either by the company itself or a third party it works with. That's what makes governments' push for more ID checks just to access ordinary parts of life so reckless.

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This Is The Income A Family Needs To Live Comfortably In Every US State

Here’s the short version of what it takes for a family of four to live comfortably in 2026 by state:

In Massachusetts, you’d need nearly $330,000 a year - the highest figure in the entire country. Only three states clear the $300,000 mark: Massachusetts, Hawaii, and California. At the other end of the spectrum, Mississippi is the most affordable at about $188,000. That’s a full $142,000 less than what you’d need in Massachusetts.

So… how much does a family of four need in your state?

This map shows the pre-tax income a household with two working adults and two kids needs to live comfortably in every U.S. state.

The numbers come fromĀ SmartAssetĀ (as of February 2026). They’re based on the familiar 50/30/20 budget: 50% for necessities, 30% for discretionary spending, and 20% for savings or other goals. These aren’t bare-minimum survival numbers—they’re what it takes to live pretty well while still putting money aside.

And asĀ Visual CapitalistĀ notes,Ā Massachusetts sits at the very top of that list.Ā Massachusetts tops the ranking, with a family of four needing $329,555 per year to meet the 50/30/20 benchmark.

Hawaii follows at $313,165, while California ranks third at $302,682.

Rank State Income needed for family of four (2026)

  • 1 - Massachusetts - $329,555
  • 2 - Hawaii - $313,165
  • 3 - California - $302,682
  • 4 - Connecticut - $298,189
  • 5 - New Jersey - $295,110
  • 6 - New York - $291,533
  • 7 - Colorado - $283,213
  • 8 - Washington - $281,798
  • 9 - Oregon - $280,966
  • 10 - Vermont - $280,384
  • 11 - Alaska - $272,064
  • 12 - New Hampshire - $267,904
  • 13 - Rhode Island - $264,659
  • 14 - Minnesota - $263,078
  • 15 - Maryland - $257,837
  • 16 - Maine - $250,931
  • 17 - Montana - $249,434
  • 18 - Pennsylvania - $247,936
  • 19 - Illinois - $244,109
  • 20 - Virginia - $242,944
  • 21 - Nevada - $242,278
  • 22 - Indiana - $241,696
  • 23 - Wisconsin - $238,451
  • 24 - Arizona - $236,870
  • 25 - Utah - $235,789
  • 26 - Delaware - $228,134
  • 27 - Ohio - $226,221
  • 28 - Idaho - $226,054
  • 29 - Florida - $223,392
  • 30 - New Mexico - $223,142
  • 31 - Nebraska - $223,059
  • 32 - Missouri - $217,734
  • 33 - Georgia - $214,573
  • 34 - Michigan - $214,323
  • 35 - South Carolina - $212,909
  • 36 - North Carolina - $212,410
  • 37 - Wyoming - $212,410
  • 38 - Oklahoma - $211,910
  • 39 - North Dakota - $210,496
  • 40 - Kansas - $207,917
  • 41 - Iowa - $204,422
  • 42 - Texas - $203,424
  • 43 - West Virginia - $202,592
  • 44 - South Dakota - $201,760
  • 45 - Alabama - $198,931
  • 46 - Louisiana - $197,933
  • 47 - Tennessee - $197,267
  • 48 - Arkansas - $195,437
  • 49 - Kentucky - $194,854
  • 50 - Mississippi - $187,533

Connecticut, New Jersey, and New York aren't far behind, bringing the number of states with comfortable-income thresholds above $290,000 to six.

Colorado and Vermont Make the Top 10

As expected, many of the highest income thresholds are concentrated in the Northeast and along the West Coast.

However, Colorado has the seventh-highest threshold in the country at $283,213, ranking above Washington and Oregon.

Vermont rounds out the top 10 at $280,384, despite having theĀ second-smallest populationĀ of any U.S. state. Meanwhile, nearby states like New Hampshire, Maine, and Rhode Island all fall outside the top 10.

Just Six States Come in Below $200,000

Despite theĀ wide range in living costsĀ across the country, only six states have a comfortable-income threshold below $200,000 for a family of four.

Mississippi ranks lowest at $187,533, followed by Kentucky.Ā The states of Arkansas, Tennessee, Louisiana, and Alabama also fall below the $200,000 mark.

The gap between Massachusetts and Mississippi exceeds $142,000 per year, meaning the Massachusetts benchmark is about 76% higher.

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šŸ¤–Can Decentralized AI Stop Big Tech from Owning the Future of Robotics?šŸ¤–
The race to build the future of robotics is no longer just about robots. It's about who controls the intelligence behind them.
Ā 
Over the last three years, a small group of companies has emerged as the backbone of the AI revolution. Microsoft provides cloud infrastructure. NVIDIA supplies the chips. Google, OpenAI, Anthropic, Meta, and others develop the models. Together, they control much of the compute, data, and software stack powering modern AI.
Ā 
Now that AI is moving into the physical world, many are asking a bigger question:
Ā 
Will these same companies end up controlling robotics too?
Ā 
It's a valid concern.
Ā 
The latest generation of robots relies on enormous amounts of compute, simulation, training data, and foundation models. Many robotics startups today are built on infrastructure provided by large technology companies. NVIDIA's Omniverse is becoming a key simulation environment for robot training. Microsoft Azure is powering the training of robotics foundation models. Physical AI startups increasingly depend on hyperscale cloud infrastructure to train and deploy intelligent systems. Recent partnerships across the industry show just how central Big Tech has become to robotics development.
But while Big Tech is building the highways, another movement is trying to ensure it doesn't own every destination.
Ā 
That movement is decentralized AI.
Ā 
Why Decentralized AI Exists
Ā 
The idea behind decentralized AI is simple. Instead of a handful of companies owning the models, compute infrastructure, data pipelines, and intelligence networks, these resources are distributed across thousands of participants.
Ā 
This means anyone can contribute compute, contribute models, validate outputs and can participate.
The most visible example today is the decentralized AI network known as Bittensor (@bittensor). The network has evolved into a large ecosystem of specialized AI markets called subnets, where participants compete to provide useful machine intelligence and are rewarded based on performance. Rather than relying on a single company, intelligence is generated and validated by a distributed network of miners and validators.
Ā 
Think of it as an attempt to build an open marketplace for AI instead of a world where intelligence is rented from a few centralized providers.
Ā 
Why This Matters for Robotics
Ā 
Robotics has a unique problem. Unlike chatbots, robots operate in the physical world. They need to perceive environments, make decisions, move safely and they need to learn continuously.
Ā 
The challenge is that collecting and training on real-world robotic data is incredibly expensive. That's one reason large companies have such an advantage. They can afford the compute, simulation environments, and data infrastructure needed to train robotics models at scale.
Ā 
This is where decentralized systems become interesting.
Ā 
Instead of one company collecting all the data and training all the models, decentralized networks could allow thousands of contributors to participate in building robotic intelligence.
Ā 
Imagine a future where:
  • Warehouse robots contribute operational data.
  • Delivery robots contribute navigation data.
  • Factory robots contribute manipulation data.
  • Developers contribute models.
  • Validators evaluate performance.
The resulting intelligence becomes a shared network rather than a proprietary asset.
Ā 
That vision is beginning to emerge.
Ā 
Bittensor's Move Toward Physical AI
Ā 
While many people associate Bittensor (@bittensor) with language models and AI services, parts of the ecosystem are increasingly exploring embodied intelligence and robotics.
Ā 
One example is Kinitro, a subnet focused on incentivizing the training and evaluation of embodied AI systems. The goal is to create competitive environments where developers build robotic intelligence and are rewarded based on performance.
Ā 
The broader Bittensor ecosystem has also expanded into compute marketplaces, distributed inference systems, bandwidth infrastructure, and AI coordination layers that could eventually support robotics workloads. Several subnets now focus on decentralized compute, confidential inference, data transfer, and model training, critical components for future robotic systems.
Ā 
In other words, the pieces are starting to appear.
Ā 
Not a decentralized robot network yet.
Ā 
But the infrastructure that could support one.
Ā 
Beyond Bittensor: The Rise of Physical AI Networks
Ā 
Bittensor isn't alone.
Ā 
Across the industry, researchers and builders are experimenting with decentralized approaches to physical AI.
Ā 
New research published in 2026 introduced the concept of DAO-enabled decentralized physical AI, or DePAI. The idea combines robotics, decentralized infrastructure, AI models, governance systems, and human oversight into a single framework. Instead of centralized control, robots and physical infrastructure could be coordinated through transparent rules and distributed ownership models.
Ā 
At the same time, developers are exploring decentralized operating systems for robots that allow machines to communicate directly with each other and with distributed compute resources. These architectures are designed to make robotic systems more resilient and less dependent on a single cloud provider.
Ā 
The goal is not simply decentralization for its own sake.
Ā 
The goal is resilience.
Ā 
If one server fails, the system continues.
Ā 
If one company disappears, the network survives.
Ā 
If one participant leaves, innovation continues.
Ā 
But Here's the Reality
Ā 
Decentralized AI faces the same challenge every decentralized technology faces.
Ā 
Big Tech has resources. A lot of resources.
Ā 
Training advanced robotics models requires enormous compute budgets, sophisticated simulation environments, access to specialized hardware, and vast amounts of real-world data.
Ā 
That's why many robotics startups still partner with major cloud providers and AI companies. It's often the fastest path to deployment.
Ā 
And there are legitimate concerns about whether decentralized networks can maintain quality, reliability, and security at the scale required for industrial robotics. Even researchers studying decentralized AI systems have highlighted risks around concentration, incentives, governance, and network security.
Ā 
The challenge isn't just decentralizing intelligence.
Ā 
It's decentralizing intelligence while maintaining performance.
Ā 
That's much harder.
Ā 
The Most Likely Outcome
Ā 
The future probably won't be fully centralized. And it probably won't be fully decentralized either. Instead, we're likely heading toward a hybrid model.
Ā 
Large technology companies will continue providing chips, cloud infrastructure, simulation platforms, and foundational research.
Ā 
At the same time, decentralized AI networks will emerge as alternative coordination layers where intelligence, data, and economic value can be shared more openly.
Ā 
The companies building robots may use NVIDIA hardware.
Ā 
Train on Azure.
Ā 
Run foundation models from OpenAI.
Ā 
But they may also participate in decentralized data networks, decentralized compute markets, and decentralized intelligence protocols.
Ā 
The future of robotics could end up looking less like a monopoly and more like an ecosystem.
Ā 
The Bigger Question
Ā 
The real question isn't whether decentralized AI can eliminate Big Tech.
Ā 
It can't.
Ā 
At least not anytime soon.
Ā 
The real question is whether decentralized AI can prevent a future where a handful of companies control every robot, every model, every dataset, and every decision made by the machines operating around us.
Ā 
As robots become workers, assistants, delivery drivers, factory operators, and even economic agents, that question becomes increasingly important.
Ā 
Because the battle for the future of robotics is no longer about hardware.
Ā 
It's about who owns the intelligence.
Ā 
And that battle is just getting started.
Ā 
Ā 

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